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Kubernetes Course Info

Our Kubernetes Training in Bangalore provides comprehensive instruction and hands-on experience with Kubernetes, the leading container orchestration platform. Designed for IT professionals, DevOps engineers, and system administrators, this course covers essential Kubernetes concepts, deployment strategies, and best practices. Participants will learn to deploy, manage, and scale containerized applications efficiently, enabling them to succeed in modern cloud-native environments. 

The Kubernetes Training course equips participants with the skills and knowledge needed to harness the power of Kubernetes for containerized application deployment and management. Through theoretical instruction, hands-on labs, and real-world scenarios, participants will develop proficiency in Kubernetes concepts, tools, and workflows. Upon course completion, participants will be prepared to leverage Kubernetes to optimize application delivery, streamline operations, and accelerate digital transformation initiatives.

Kubernetes Course Content

Lesson 1: Understanding containerization and Kubernetes.
Lesson 2: Kubernetes architecture and core components.
Lesson 3: Setting up Kubernetes clusters on different platforms.

Lesson 1: Creating and managing Kubernetes Pods, ReplicaSets, and Deployments.
Lesson 2: Configuring Kubernetes Services for networking and load balancing.
Lesson 3: Implementing storage solutions with PersistentVolumes and PersistentVolumeClaims.

Advanced Kubernetes Concepts (12 hours)

Lesson 1: Managing Kubernetes configurations with ConfigMaps and Secrets.
Lesson 2: Implementing advanced networking with Ingress and NetworkPolicies.
Lesson 3: Securing Kubernetes clusters with Role-Based Access Control (RBAC) and Pod Security Policies.

Lesson 1: Automating Kubernetes operations with Helm and Operators.
Lesson 2: Scaling applications with HorizontalPodAutoscaler and ClusterAutoscaler.
Lesson 3: Managing application updates and rollbacks with Kubernetes controllers.

Lesson 1: Implementing logging and monitoring solutions with Prometheus and Grafana.
Lesson 2: Troubleshooting Kubernetes applications and infrastructure.
Lesson 3: Implementing best practices for observability and performance optimization.

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